DocumentCode
352156
Title
On robustness of complete stability for a class of cellular neural networks
Author
Marco, M. Di ; Tesi, A. ; Forti, M.
Author_Institution
Dipt. di Sistemi e Inf., Univ. di Firenze, Italy
Volume
4
fYear
2000
fDate
2000
Firstpage
141
Abstract
The issue of the loss of complete stability for a class of cellular neural networks (CNNs) is analyzed. It is shown that there are CNNs in this class for which a Hopf bifurcation is present, even if the interconnection matrix is arbitrarily close to some symmetric matrix. This shows that, in the general case, complete stability is not robust with respect to perturbations of nominal symmetric interconnection matrices
Keywords
bifurcation; cellular neural nets; stability; Hopf bifurcation; cellular neural networks; complete stability; nominal symmetric interconnection matrices; robustness; symmetric matrix; Bifurcation; Cellular neural networks; Image processing; Neural networks; Neurofeedback; Neurons; Robust stability; Stability analysis; Symmetric matrices; Very large scale integration;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2000. Proceedings. ISCAS 2000 Geneva. The 2000 IEEE International Symposium on
Conference_Location
Geneva
Print_ISBN
0-7803-5482-6
Type
conf
DOI
10.1109/ISCAS.2000.858708
Filename
858708
Link To Document